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1 of 14 TDTS07: System Design and Methodology Introduction to Lab 1 and 2 Ivan Ukhov Embedded Systems Laboratory Department of Computer and Information Science Linköping University
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2 of 14 2 Contacts Petru Eles (lectures) Office: Building B 329:220 Email: petru.eles@liu.se Ivan Ukhov (lessons) Office: Building B 329:228 Email: ivan.ukhov@liu.se Adrian Horga (labs) Office: Building B 329:198 Email: adrian.horga@liu.se
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3 of 14 3 Outline Today Organization Lab 1 Break Lab 2 Next time Lab 2 (demo) Lab 3
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4 of 14 4 Organization Lab groups Webreg groups A and B Web page https://www.ida.liu.se/~TDTS07 Check for detailed information and links to tutorials Organization 2 lessons (including this one) 10 two-hour lab sessions Lab assignments 1.Modeling and simulation with SystemC 2.Formal verification with UPPAAL 3.Design-space exploration with MPARM
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5 of 14 5 Organization Choose a lab partner and sign up in Webreg https://www.ida.liu.se/webreg3 Deadline for registration: January 31 Register as soon as possible Deadline for labs: March 27 This is the last day for handing in (emailing) lab reports After the deadline, your assistant will correct the remaining lab reports at his earliest convenience Rules: Please read them (see the labs’ page)
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6 of 14 6 Structure 1.Modeling and simulation with SystemC 2.Formal verification with UPPAAL 3.Design-space exploration with MPARM Each lab has a tutorial. Please read it and be prepared before you attend the lab session. We want to work efficiently during the supervised lab sessions.
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7 of 14 7 Examination Written report for each lab (pdf) Present your solution to the lab exercises Explain your design and implementation choice in detail Present and discuss your results Prepare an archive with the report (pdf) and the code (where any) and email it to your group’s assistant (CC both lab partners) Grades: Passed Intermediate: revise your solution and report according to your assistant’s comments
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8 of 14 8 Lab 1 and 2: Modeling, Validation, Verification After the system is designed: Find out whether the system works according to its specification and correctly Validation – Quality assurance process “Are we building the right product?” Simulation Testing Verification – Quality control process “Are we building the product right?” Model checking Theorem proving
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9 of 14 9 Lab 1: SystemC Modeling and Simulation
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10 of 14 10 Simulation Based on executable models of the system Generate input stimuli Permits a quick and shallow evaluation of the design quality Good for finding bugs Not suitable for finding subtle errors
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11 of 14 11 SystemC Compare to VHDL and Verilog Contains structures for modeling HW components and their interaction Comes with a simulation kernel It’s a unified HW-SW design language What do we need to model systems? time modules concurrent processes events channels ports
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12 of 14 12 SystemC – Time Data type sc_time (a C++ class) Use like an ordinary basic C++ data type ( int, double ) sc_time t1(9,SC_MS); sc_time t2 = sc_time(5,SC_SEC); if (t1<t2) cout << t1*3 << endl << t2+t2; Many of the standard operators are defined for sc_time The underlying representation is based on 64-bits unsigned integer values The representable time is limited (discrete time) Depends on the time resolution Default: 1 picosecond Can be set by the user through the function sc_set_time_resolution
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13 of 14 13 SystemC – Modules Modules: Basic building blocks in SystemC Contains ports, concurrent processes, internal data structures, channels, etc. Created with the macro SC_MODULE Concurrent processes ( SC_THREAD or SC_METHOD ) Use wait statements to advance time (or event notification) Sensitive to events ( sc_event ) or value changes in channels Input and output ports to communicate with the environment
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14 of 14 14 Example: Adder Adder a b sum
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15 of 14 15 SystemC Module Example #include using std::cout; using std::endl; SC_MODULE(Adder) { sc_in a_p; sc_in b_p; sc_out sum_p; sc_event print_ev; void add_method() { sum_p = a_p + b_p; print_ev.notify(SC_ZERO_TIME); } void print_method() { cout << sc_time_stamp() << ”:Sum=” <<sum_p << endl; } SC_CTOR(Adder) { sum_p.initialize(0); SC_METHOD(add_method); sensitive << a_p << b_p; SC_METHOD(print_method); dont_initialize(); sensitive << print_ev; } }; // END Adder
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16 of 14 16 Generate Inputs Adder a b sum Generator
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17 of 14 17 SystemC – Input Generator SC_MODULE(Generator) { sc_out a_p; sc_out b_p; void gen_thread() { for (;;) { wait(1,SC_SEC); a_p = a_p + 1; b_p->write(b_p->read() + 1); } } SC_CTOR(Generator) { a_p.initialize(0); b_p.initialize(0); SC_THREAD(gen_thread); } }; // END Generator
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18 of 14 18 SystemC – Test Bench // Definition of an input generator (next slide) int sc_main(int argc, char *argv[]) { sc_set_default_time_unit(1,SC_SEC); sc_signal a_sig, b_sig, sum_sig; // create channels Adder adder_module(”Adder_1”); // create an instance adder_module(a_sig, b_sig, sum_sig); // connect ports to channels Generator gen(”Generator_1”); gen(a_sig, b_sig); sc_start(30,SC_SEC); return 0; }
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19 of 14 19 Simulation Run $./adder.x SystemC 2.1.v1 --- Dec 22 2014 16:12:32 Copyright (c) 1996-2005 by all Contributors ALL RIGHTS RESERVED 0 s: Sum=0 1 s: Sum=2 2 s: Sum=4 3 s: Sum=6 4 s: Sum=8 5 s: Sum=10 6 s: Sum=12 7 s: Sum=14 8 s: Sum=16 9 s: Sum=18 10 s: Sum=20 11 s: Sum=22.
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20 of 14 20 Simulator Kernel 1. Initialize: each process executed once; it’s possible to disable this phase for methods 2. Evaluate: select a ready to run process and execute/resume it; immediate notification may happen – e.notify() 3. repeat 2 until no more processes to run 4. Update: values assigned to channels in the previous evaluate cycle 5. stept 2-4 = delta-cycle; if 2 or 3 resulted in delta event notifications (e.notify(0) or wait(0)) go to 2 without advancing simulation time 6. Advance to next simulation time with pending events Determine processes ready to run and go to 2
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21 of 14 21 Simulator kernel – Delta-Cycle Example //inside a process sc_signal sig_int; //assume current value //of sig_int is 0 sig_int.write(1); int value = sig_int.read(); cout << value << endl; wait(SC_ZERO_TIME); value = sig_int.read(); cout << value << endl; 0101
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22 of 14 22 Try the Example You can find the example at: /home/TDTS07/tutorials/systemc/adder Copy it to your home directory Two files: adder.cc (implements the two modules + the test bench) Makefile (helps you compile and build the program) Type make at the command line assuming you are in the correct directory Creates an executable adder.x After building the example, type./adder.x to run it Study the source code together with the tutorial
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23 of 14 23 Lab Assignment Study the lab material linked from the web pages At the end of the document you find the lab assignment Design and implement a traffic light controller For details: SystemC Language Reference Manual http://accellera.org
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24 of 14 24 Lab 2: Formal Verification with UPPAAL
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25 of 14 25 Formal Methods For the levels of complexity typical to embedded systems: Traditional validation techniques (e.g., simulation) cover a small fraction of the system behavior Bugs found late have a negative impact on the time-to-market A failure may lead to a catastrophe
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26 of 14 26 Model Checking
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27 of 14 27 UPPAAL Design and verification tool: Requirements specification: computation tree logic (CTL) Modeling: timed automata Validation: simulation Verification: model checking User-friendly graphical user interface http://uppaal.com (free for academic use)
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28 of 14 28 Timed Automata in UPPAAL A timed automaton is a finite automaton augmented with a finite set of real variables called clocks All the clocks change along the time with the same constant rate Timing constraints can be expressed imposing conditions over clocks The timed automata model consists of a collection of automata that operate and coordinate with each other through shared variables and synchronization labels
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29 of 14 29 Timed Automata — Syntax X 3 n m Clocks: X, Y a Action used for synchronization Guard = clock constraint X = 0 Reset (action performed on clocks) Y<=2Invariant
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30 of 14 30 Timed Automata — Example a1a2 a3 b1 b2 b3 y=1 t? ca=0 ca<=3 y=2 t! y==2 y==1 cb=0 y=2 cb>4
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31 of 14 31 Temporal Logics How do we specify properties for timed systems? Logic augmented with temporal modal operators Allow us to reason about how the truth of assertions changes over time Used to specify desired properties of timed systems Safety: Nothing bad will ever happen Liveness: Something good may eventually happen Boundedness: Something will happen within a time limit Different forms of temporal logic Depending on the underlying model of time Computation tree logic (CTL)
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32 of 14 32 CTL: Computation Tree Logic Based on propositional logic of branching time: it may split into more than one possible future Atomic propositions (states in timed automata) and boolean connectors Temporal operators: Path quantifier A – all computation paths E – some computation path Forward-time operators G – globally F – in the future X – next time U – until
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33 of 14 33 Computation Tree Represents an unfolded state graph – nodes are the possible states that the system might reach Build (infinite) computation trees from the TA model OKError OK
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34 of 14 34 CTL Temporal Operators p EX p p EF p p AX p p EG p p p p p AF p pp p p AG p pp p pp p p InvariantInevitable Possible Potentially global
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35 of 14 35 CTL Example Two properties of the system Possible error: EF Error (True!) Possibly globally OK: EG OK (True!) AG OK (False!) OKError OK
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36 of 14 36 CTL in UPPAAL UPPAAL has a special syntax for CTL AF p = A<> p Always eventually p AG p = A[] pInvariantly p EF p = E<> pPossibly p EG p = E[] pPotentially always p Boolean connectives: and, or, not, imply No nested formulas, except A[] (p imply A<> q) = p --> q p --> q ”If p holds in some state, then q will hold in some future state” This construction can be used to verify one of the properties in the assignments: ”If a car arrives at the traffic light, it should eventually be granted green light.”
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37 of 14 37 Formal Methods Formal methods can overcome some of the limitations of traditional techniques, give a better understanding of the system, help to uncover ambiguities, and reveal new insights of the system. Formal methods do have limitations and are to complement simulation and testing, rather than replacing them.
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38 of 14 38 Lab Assignment Study the lab material linked from the lab pages In the document you will find the lab assignments as well as the requirements on the deliverables Introductory assignments to get familiar with timed automata, CTL, and UPPAAL Model the traffic light controller in timed automata Simulate and verify Implement a communication protocol Alternating bit protocol
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39 of 14 39 Thank you! Questions?
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